mjbaysinger at Planetary Qualifier Radcliff

melee.gg

Planetary Premier April 25, 2026 Record 4-2-0 Field 44

Rating after 1,495

+88

Rating before 1,407 RD 116

Rating after 1,495 RD 109

Effective multiplier 1.0×

Performance 1,948

Field strength Mean 1,583 · Median 1,522 · 44 rated

// rating math · glicko-2 phase replay

How this rating change was computed

Glicko-2 doesn’t reward record — it rewards surprise. Winning a match the system expected you to win is worth almost nothing. Losing one is expensive. Losing to someone rated below you costs the most. The Planetary tier multiplier (1.0×) amplifies every gain and every loss.

Shape D top-cut adjustments QF SF F Wins +0.12 +0.18 +0.25 Losses -0.18 -0.27 -0.35

Making cut at this Planetary event adds a flat +15 top-cut bonus on top of phase math. Making cut never costs you net rating — the made-cut floor pins the tournament delta to ≥ 0.

Start 1407 → Swiss 1495 +87.8

Top Cut Bracket Full bracket on the event page

Quarterfinals

RelicRelic 2

blakeken 1

Devias 2

NoahG1212 1

AlbatrossLuke 0

JohnYellow 2

Aaron Higgins 2

projector101 0

Semifinals

RelicRelic 2

Devias 0

JohnYellow 1

Aaron Higgins 2

Finals

RelicRelic 1

Aaron Higgins 2

See full bracket on the event page →

Swiss · 6 matches 4-2 +87.8 1.0× +0.0 +87.8 1495

Total 4-2-0 +87.8 1495

Biggest upset Beat Yamil Pietri 1816 at 20% odds / surprise +0.8

Matches (6)

R1 NoahG1212 Loss 0-2 1.0× Swiss

R2 Yamil Pietri Win 2-0 1.0× +37.0 Swiss

Glicko-2 predicted only 20% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R3 Antony Mock Win 2-0 1.0× +23.5 Swiss

Glicko-2 predicted only 46% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect. Their rating wasn't well-established (RD 176, true skill could span ±352).

R4 RelicRelic Loss 1-2 1.0× Swiss

R5 AnglerDave Win 2-0 1.0× +27.7 Swiss

Glicko-2 predicted only 39% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect.

R6 djb299 Win 2-1 1.0× +22.0 Swiss

Glicko-2 predicted only 50% odds for you. Upset wins move the rating model strongly because the system learns a lot from results it didn't expect. Their rating wasn't well-established (RD 177, true skill could span ±354).